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Forward Deployed Engineer AI/ML

  • Texas, San Antonio

  • 08/24/2026

  • Contract

  • Active

Job Description:

  • Job Summary
    We are seeking a Forward Deployed Engineer to partner directly with enterprise customers to design, build, and deploy production-grade AI solutions. This role combines software engineering, data engineering, AI/ML expertise, and customer engagement to solve complex business challenges through innovative AI applications. The position is remote, with travel of up to 25% as needed.

    Key Responsibilities
    • Design and deliver end-to-end AI solutions, including agentic AI workflows, RAG pipelines, and enterprise AI applications.
    • Build and deploy scalable AI/ML systems in production environments.
    • Develop data pipelines and integrate AI solutions with enterprise platforms, databases, and business systems.
    • Lead solution architecture, prototyping, deployment, and post-production optimization.
    • Collaborate with customer stakeholders to translate business requirements into technical solutions.
    • Drive best practices around DevOps, observability, monitoring, and AI governance.

    Required Qualifications
    • Palantir certification is required.
    • 6+ years of experience in software engineering, data engineering, or AI/ML.
    • 4+ years of experience in customer-facing, consulting, solutions engineering, or field engineering roles.
    • Proven experience building and deploying AI/ML applications at enterprise scale.
    • Strong Python development skills with full-stack engineering experience.
    • Hands-on experience with LLMs, RAG architectures, vector databases, prompt engineering, and AI orchestration frameworks.
    • Experience with data engineering, ETL/ELT pipelines, and large-scale data integration.
    • Strong DevOps experience with Docker, Kubernetes, CI/CD, and cloud-native deployments.
    • Excellent communication skills with the ability to engage technical and business stakeholders.

    Preferred Qualifications
    • Experience designing and implementing agentic AI workflows and enterprise AI applications.
    • Experience with AI governance, observability, and production monitoring.
    • Experience delivering technical solutions directly within enterprise customer environments.

    Certifications
    • Palantir certification is required.

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